Talk:IEHIAS
From Testiwiki
| Original page | New page | Status |
|---|---|---|
| Toolkit | ||
| Toolkit | ||
| Data | ||
| Context | ||
| Geographic | ||
| Administrative | ||
| Topography | ||
| Population / Demography | ||
| Population numbers/distribution | ||
| EU population: Eurostat | ||
| EU age/sex stratified population: 100 metre grid | ||
| Administrative boundaries - EuroBoundaryMap | ||
| EU age/sex stratified population: LAU2 | ||
| EU population totals: 100 metre grid | ||
| EU age- and gender- stratified population data: EMEP grid (2010, 2020, 2030 and 2050) | ||
| Behaviour / Lifestyle | ||
| Socio-economic status | ||
| Environmental | ||
| General environmental data sources | ||
| ExpoPlatform: Web based platform for exposure assessment | ||
| Agents | ||
| Chemicals | ||
| Heavy metals | ||
| POPS | ||
| Radiation | ||
| Wastes | ||
| Electromagnetic radiation | ||
| Noise | ||
| Sources | ||
| Infrastructure | ||
| Activities | ||
| Land cover / use | ||
| Releases | ||
| Emission factors | ||
| Emission factors for agriculture | ||
| Emission scenarios | ||
| Emissions | ||
| Environmental media / processes | ||
| Air pollution | ||
| Climate/meteorology | ||
| Indoor environments | ||
| Soil | ||
| Water quality | ||
| Exposure / Dose | ||
| Exposure | ||
| Intake / dose | ||
| Biomarkers | ||
| ExpoPlatform: Intake fractions | ||
| Effects and impacts | ||
| Exposure-response relationships | ||
| Exposure / Dose / Concentration response functions | ||
| Toxicology | ||
| Health effects | ||
| Morbidity | ||
| Mortality | ||
| European Detailed Mortality Database | ||
| Impacts | ||
| Monetary weights and values | ||
| Severity weights | ||
| Examples and case studies | ||
| Examples of assessment methods | ||
| Issue-framing | ||
| Defining the question: an example from agriculture | ||
| Defining the question: an example from waste | ||
| Defining the question: an example from water | ||
| Stakeholder consultation and engagement | ||
| Defining the stakeholders: an example from agriculture | ||
| Defining the stakeholders: an example from waste | ||
| Defining the stakeholders: an example from water | ||
| Engaging stakeholders: an example from water | ||
| Scenarios | ||
| Creating scenarios: an example from agriculture | ||
| Main crop scenarios | ||
| The impacts of the CAP | ||
| Crop allocation | ||
| Energy crop scenarios | ||
| Creating scenarios: an example from transport | ||
| Creating scenarios: an example from waste | ||
| Downscaling IPCC SRES-population scenarios from OECD- to the city-level: London, Rome, Helsinki | ||
| Creating scenarios: an example for UVR and skin cancer | ||
| Creating scenarios: an example from water | ||
| Scoping | ||
| Building conceptual models: an example from agriculture | ||
| A mind-map | ||
| A systems diagram | ||
| Customising the causal chain: an example from agriculture | ||
| Building a conceptual model: the example of transport | ||
| Scoping the assessment: ultraviolet radiation (UVR) and future skin cancer | ||
| Indicator selection | ||
| Building indicators: an example from agriculture | ||
| Computation of health impact indicators for agriculture | ||
| Human biomonitoring | ||
| Case study lead in Europe | ||
| Exploring the full-chain approach for PAHs using 2 case studies in Flanders and the Czech Republic | ||
| The Benchmark Dose (BMD) approach for health effects of PCB exposure | ||
| Case study PCBs in Slovak Republic | ||
| Population modelling | ||
| Spatial population modelling: an example using dasymetric disaggregation | ||
| Population map: dasymetric disaggregation | ||
| Source characterisation | ||
| Characterising source intensity: an example from agriculture | ||
| Modelling road transport: examples from the Hague and Helsinki | ||
| Network modelling: modelling waste transport | ||
| Route modelling | ||
| Estimating traffic (truck) volumes | ||
| Mask area weighting: an example for pesticides | ||
| Pesticide maps: mask area weighting | ||
| Stochastic allocation: an example for pesticides | ||
| Pesticide maps: stochastic allocation | ||
| Emission modelling | ||
| Modelling contaminant release: an example from agriculture | ||
| Modelling contaminant releases: an example from waste | ||
| Environmental transport and transformation | ||
| Dispersion modelling: an example from agriculture | ||
| Dispersion modelling: an example from waste | ||
| Dispersion modelling; an example from transport | ||
| Focal sum modelling: an example for agriculture | ||
| Land use regression modelling: air pollution in Great Britain | ||
| Modelling ultraviolet radiation exposures: a European case study | ||
| Using a Kalman filter to improve a real time air pollution model | ||
| Exposure modelling | ||
| Intake and dose | ||
| Intake fraction: exposure to pesticides in food | ||
| Intake fractions of cadmium emissions from a large zinc smelter | ||
| Using a PBPK model to assess population exposure to cadmium | ||
| Deriving exposure-response functions | ||
| Combining epidemiology and toxicology for the purpose of deriving ERFs: TCDD-induced dental aberrations | ||
| Expert elicitation: case study on ultrafine particles | ||
| Estimating-exposure response functions: an example from transport | ||
| Estimating exposure-response functions: pesticides, PM and endotoxins from agriculture | ||
| Health effects | ||
| Estimating baseline skin cancer incidence for London, Helsinki and Rome | ||
| Estimating health effects: UVR and skin cancer | ||
| Health impact modelling: ultraviolet radiation and non-melanoma skin cancer | ||
| Health impact modelling: ultraviolet radiation and melanoma skin cancer | ||
| Calculating attributable cancer incidence: an example from waste | ||
| Estimating health effects: an example from waste | ||
| Impact analysis | ||
| Calculating DALYs: an example from waste | ||
| DALY calculations: UVR and skin cancer | ||
| Impact analysis: an example from transport | ||
| Uncertainty analysis | ||
| Qualitative uncertainty assessment: a worked example | ||
| Uncertainty in the agriculture case study | ||
| Sensitivity analysis: ultraviolet radiation (UVR) and skin cancer | ||
| Uncertainty analysis: an example from waste | ||
| Examples of integrated assessments | ||
| Changing ambient UVR and future melanoma and non-melanoma skin cancer in London, Rome and Helsinki | ||
| Changing ambient UVR and future skin cancer in London, Rome and Helsinki: melanoma skin cancer (CMM) | ||
| Changing ambient UVR and future skin cancer in London, Rome and Helsinki: non-melanoma skin cancer (BCC and SCC) | ||
| Health effects of waste management | ||
| Integrated assessment of heavy metal releases in Europe | ||
| Models and methods | ||
| Issue framing tools | ||
| Indicator selection: a protocol | ||
| Mind-mapping tools | ||
| Tools for building system diagrams | ||
| Collaborative assessment | ||
| Protocol on stakeholder involvement | ||
| Scenario modelling | ||
| Tools for scenario construction | ||
| Screening tools | ||
| Spatial analysis and visualisation | ||
| Focal sum modelling | ||
| Land use regression | ||
| Spatial visualisation toolbox | ||
| Urban simulator - SIENA | ||
| SIENA - data | ||
| SIENA - data description | ||
| Population modelling | ||
| Source apportionment models | ||
| Chemical mass balance models | ||
| Positive matrix factorisation | ||
| Principal components analysis | ||
| Emission models | ||
| Air pollution models | ||
| ADMS-Urban | ||
| CAR-International | ||
| CHIMERE | ||
| EcoSenseWeb | ||
| Hydrological and water quality models | ||
| List of hydrological and water quality models | ||
| Noise models | ||
| Electro-magnetic radiation models | ||
| EMF path loss models | ||
| Geomorf - Geographical Model of Radio-Frequency Power Density | ||
| UV radiation models | ||
| Ultraviolet radiation models and online simulation tools | ||
| Micro-environmental models | ||
| CONTAM | ||
| INDEX: Indoor Exposure Model | ||
| RISK IAQ model | ||
| Multi-media models | ||
| CalTOX | ||
| PANGEA | ||
| dynamiCROP | ||
| Exposure, intake and dose models | ||
| IndusChemFate - a generic PBPK model | ||
| PBPK model for cadmium | ||
| Physiologically based toxicokinetic (PBTK) model for dioxin | ||
| Exposure-response function methodology | ||
| Exposure-response functions protocol | ||
| Exposure-response functions: protocol and guidelines | ||
| Impact analysis methods and tools | ||
| Impact calculation tool | ||
| Uncertainty analysis methods and tools | ||
| Aguila | ||
| Protocol on expert elicitation | ||
| Value of information | ||
| Generic assessment tools | ||
| Decision Support Tools metadatabase | ||
| Monitoring methods | ||
| Framework for Integrated Monitoring | ||
| Overview of existing integrated E & H monitoring programs | ||
| Overview of existing integrated E & H frameworks | ||
| Concepts For Integrated monitoring | ||
| Conceptual framework for integrated monitoring | ||
| Structural framework for integrated monitoring | ||
| Methods for data integration | ||
| Development needs for integrated monitoring | ||
| Case study PAHs in Czech Republic | ||
| Human biomonitoring | ||
| Listings | ||
| Case study summary reports | ||
| Health impacts of agricultural land use change in Greece and Great Britain | ||
| Health impacts of regulative policies on use of di-n-butylphthalate (DBP) in consumer products | ||
| Models and tools | ||
| Worked examples of assessment techniques | ||
| Worked examples of complete assessments | ||
| Guidance System | ||
| Guidance System | ||
| The concept | ||
| The need for IEHIA | ||
| IEHIA in relation to other assessment methodologies | ||
| Hazards and benefits | ||
| Steps in IEHIA | ||
| Issue framing | ||
| Challenges in issue framing | ||
| Defining the question | ||
| Who defines the question? | ||
| What types of questions can be assessed? | ||
| Consulting with stakeholders | ||
| Types of stakeholder | ||
| Engaging stakeholders | ||
| Methods for stakeholder engagement | ||
| Open assessment | ||
| Formulating scenarios | ||
| The role of scenarios | ||
| Scenarios and the causal chain | ||
| Types of scenario | ||
| Prescriptive scenarios | ||
| Descriptive scenarios | ||
| Predictive scenarios | ||
| Probabilistic scenarios | ||
| Creating scenarios for IEHIA | ||
| European policy scenarios | ||
| Scoping the assessment | ||
| Building a conceptual model | ||
| Setting boundaries | ||
| Guidelines on boundary setting | ||
| Mind-maps | ||
| System diagrams | ||
| The causal chain | ||
| Expanding the causal chain | ||
| Customising the causal chain | ||
| Other conceptual frameworks | ||
| The DPSIR framework | ||
| The DPSEEA framework | ||
| The MEME framework | ||
| Selecting indicators | ||
| Types of indicator | ||
| Position in the causal chain | ||
| DALYs and QALYs | ||
| Monetary costs | ||
| Structure | ||
| Perspective | ||
| Building good indicators | ||
| Design | ||
| Key issues in design | ||
| Learning from examples | ||
| Accuracy and uncertainty | ||
| Dealing with complex exposures | ||
| Dealing with complex exposures: an example for water | ||
| Matching exposure and health metrics | ||
| Information needs | ||
| Vulnerable and susceptible groups | ||
| Socio-economic status | ||
| Value systems | ||
| Geographic variation | ||
| Geographic location and extent | ||
| Spatial resolution | ||
| Effects of spatial resolution: worked example | ||
| Zone design | ||
| Timeframe | ||
| Ethical issues: environmental justice | ||
| Screening | ||
| Expert estimation | ||
| Expert elicitation methodology | ||
| Delphi surveys | ||
| Extrapolation | ||
| Transferring results from other studies | ||
| Temporal (trend) extrapolation methods | ||
| Spatial interpolation and extrapolation methods | ||
| Triangulation | ||
| Rapid modelling | ||
| Proxies | ||
| Proxies: the example of traffic-related air pollution | ||
| Analogues | ||
| Developing simple models | ||
| Intake fractions | ||
| Piloting | ||
| Finding and evaluating data | ||
| Environmental and exposure data | ||
| Representivity of environmental monitoring networks | ||
| Exposure-response functions | ||
| Human biomonitoring data | ||
| Case studies in human biomonitoring | ||
| Interpreting human biomonitoring data | ||
| Population, demographic and socio-economic data | ||
| Health data | ||
| Selecting and evaluating models | ||
| Model linkage | ||
| Defining and describing uncertainties | ||
| Framework for uncertainty classification | ||
| Location of uncertainty | ||
| Protocol development | ||
| Examples of assessment protocols | ||
| Execution | ||
| Managing the assessment | ||
| Collaborating on an assessment | ||
| Liaising with stakeholders | ||
| Participating in assessment | ||
| Documentation and auditing | ||
| Data management | ||
| Managing uncertainties | ||
| Assessment performance | ||
| Modelling the causal chain | ||
| Contaminant sources | ||
| Characterising sources | ||
| Data sources | ||
| Source distribution | ||
| Source intensity | ||
| Modelling source activity | ||
| Spatial disaggregation | ||
| Contaminant release | ||
| Release pathways and processes | ||
| Release inventories | ||
| Modelling contaminant releases | ||
| Development of emission scenarios | ||
| Development of emission mitigation scenarios | ||
| Emission factors | ||
| Transport and transformation in environmental media | ||
| Air pollution | ||
| Atmospheric dispersion models | ||
| Statistical air pollution models | ||
| Indoor air pollution models | ||
| Water quality | ||
| Non-ionising radiation | ||
| Noise | ||
| GIS-based models | ||
| Source attribution | ||
| Multimedia models | ||
| Exposure, intake and uptake | ||
| Exposure modelling | ||
| Population modelling | ||
| Exposure factors | ||
| Intake fractions | ||
| Consumer products exposure models | ||
| Time micro-environment activity modelling | ||
| Exposure-to-intake modelling | ||
| Internal dose estimation | ||
| PBPK modelling | ||
| Health effects | ||
| Estimating exposure-response functions | ||
| Estimating health effects | ||
| Impact analysis | ||
| Key issues in impact analysis | ||
| Methods and measures for impact analysis | ||
| Health-based impact measures | ||
| Monetisation methods | ||
| Deriving and applying monetary values | ||
| Deriving non-market values | ||
| Discounting | ||
| Value transfers | ||
| Treatment of uncertainty | ||
| Uncertainty analysis | ||
| Framework for uncertainty classification | ||
| Methods for uncertainty analysis | ||
| Value of information | ||
| Appraisal | ||
| Reporting assessment results | ||
| Myths in risk communication | ||
| Designing effective assessment reports | ||
| Indicator scorecards | ||
| Mapping | ||
| Effective map design | ||
| Comparing and ranking outcomes | ||
| Cost-effectiveness analysis | ||
| Cost-benefit analysis | ||
| Multi-criteria assessment | ||
| Help | ||
| Help | ||
| About the IEHIAS | ||
| Structure | ||
| User groups | ||
| Users and permissions | ||
| Editing your user account | ||
| Contributing to IEHIAS | ||
| Content types | ||
| Where to put the contributed pages? | ||
| Glossary | ||
| Tutorials | ||
| Tutorial: Text editor | ||
| Tutorial: Using the "Read more" Style | ||
| Tutorial: How to insert hyperlinks | ||
| Tutorial: Creating equations | ||
